Summary
Katerina Zanos is a Principal Machine Learning Engineer with 12 years of experience building production recommender systems and ML platforms for media at scale. She currently leads recommendations at ESPN (The Walt Disney Company), owning retrieval, ranking, experimentation and responsible guardrails to deliver timely, relevant sports experiences. Previously she shaped Feed and Reels personalization at Meta and led personalization and newsroom platform initiatives at The New York Times, blending deep learning (two-tower networks, graph models) with pragmatic production engineering. Katerina holds dual Master’s degrees in Computer Science and Journalism from Columbia, giving her a distinctive view on content, distribution, and trust. She focuses on human-centric ML that optimizes long-term value rather than short-term engagement and mentors engineers to improve ownership and delivery quality. A background spanning newsroom tooling, social-media research projects, and robotics underscores her appetite for cross-disciplinary problems where ML meets real-world information flows.
12 years of coding experience
11 years of employment as a software developer
Professional Communications for Engineers Scientists and Managers Business/Corporate Communications, Professional Communications for Engineers Scientists and Managers Business/Corporate Communications at Massachusetts Institute of Technology
Engineer’s Degree Electrical and Computer Engineering, Engineer’s Degree Electrical and Computer Engineering at Aristotle University of Thessaloniki (AUTH)
Master’s Degree Computer Science, Master’s Degree Computer Science at Columbia University
English, German, Greek, Spanish